Krista D Hanni
Biographic Data
| ID | 6891676 |
|---|---|
| NAME | Krista D Hanni |
| GIVEN NAMES | Krista D |
| FAMILY NAME | Hanni |
| SIGNATURE | HANNI K D |
| AFFILIATIONS | Monterey County Health Department |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Signal Detection Analysis of Factors Associated With Diabetes Among Semirural Mexican American Adults
Signal detection analysis was used to evaluate a combination of sociodemographic, acculturation, mental health, health care, and chronic disease risk factors potentially associated with diabetes in a sample of 4,505 semirural Mexican American adults. Overall, 8.9% of adults had been diagnosed with diabetes. The analysis resulted in 12 mutually exclusive groups, with diabetes prevalence ranging from 1.8% to 44.1%. Three groups were at the highest …
Assessing the Early Aberration Reporting System's Ability to Locally Detect the 2009 Influenza Pandemic
The Early Aberration Reporting System (EARS) is used by some local health departments (LHDs) to monitor emergency room and clinic data for disease outbreaks. Using actual chief complaint data from local public health clinics, we evaluate how EARS—both the baseline system distributed by the CDC and two variants implemented by one LHD—perform at locally detecting the 2009 influenza A H1N1 pandemic. We also compare the EARS methods to a CUSUM-based …
Predictors of trying to lose weight among overweight and obese Mexican-Americans: A signal detection analysis
Objective Signal detection analysis, a form of recursive partitioning, was used to identify combinations of sociodemographic and acculturation factors that predict trying to lose weight in a community-based sample of 957 overweight and obese Mexican-American adults (ages 18–69 years). Design Data were pooled from the 2004 and 2006 Behavioral Risk Factor Surveillance System conducted in a low-income, semi-rural community in California. Results Ove…
No prominent works on this page.
Predictors of trying to lose weight among overweight and obese Mexican-Americans: A signal detection analysis
Objective Signal detection analysis, a form of recursive partitioning, was used to identify combinations of sociodemographic and acculturation factors that predict trying to lose weight in a community-based sample of 957 overweight and obese Mexican-American adults (ages 18–69 years). Design Data were pooled from the 2004 and 2006 Behavioral Risk Factor Surveillance System conducted in a low-income, semi-rural community in California. Results Ove…
Assessing the Early Aberration Reporting System's Ability to Locally Detect the 2009 Influenza Pandemic
The Early Aberration Reporting System (EARS) is used by some local health departments (LHDs) to monitor emergency room and clinic data for disease outbreaks. Using actual chief complaint data from local public health clinics, we evaluate how EARS—both the baseline system distributed by the CDC and two variants implemented by one LHD—perform at locally detecting the 2009 influenza A H1N1 pandemic. We also compare the EARS methods to a CUSUM-based …
Signal Detection Analysis of Factors Associated With Diabetes Among Semirural Mexican American Adults
Signal detection analysis was used to evaluate a combination of sociodemographic, acculturation, mental health, health care, and chronic disease risk factors potentially associated with diabetes in a sample of 4,505 semirural Mexican American adults. Overall, 8.9% of adults had been diagnosed with diabetes. The analysis resulted in 12 mutually exclusive groups, with diabetes prevalence ranging from 1.8% to 44.1%. Three groups were at the highest …
Medicine (3 works) · Acculturation (2 works) · Endocrinology (2 works) · Environmental health (2 works) · Ethnic group (2 works) · Gerontology (2 works) · Obesity (2 works) · Political science (2 works) · Public health (2 works) · Anomaly Detection Techniques and Applications (1 works)